All experiments are conducted on the VCTK corpus [1]}, which are randomly split into 100, 3 and 6
speakers as training, validation and testing sets respectively.
For acoustic features extraction, all audio recordings are downsampled to 16kHz, and
the mel-spectrograms are computed through a short-time
Fourier transform with Hann windowing, 1024 for FFT size, 1024 for window size and 256 for hop
size.
The STFT magnitude is transformed to mel scale
using 80 channel mel filter bank spanning 90 Hz to 7.6 kHz.
For pitch contour, z-normalization is performed for each utterance independently.
